CN109685046A - A kind of skin light transparency analysis method and its device based on image grayscale - Google Patents

A kind of skin light transparency analysis method and its device based on image grayscale Download PDF

Info

Publication number
CN109685046A
CN109685046A CN201910151573.7A CN201910151573A CN109685046A CN 109685046 A CN109685046 A CN 109685046A CN 201910151573 A CN201910151573 A CN 201910151573A CN 109685046 A CN109685046 A CN 109685046A
Authority
CN
China
Prior art keywords
gray
image
skin
doi
roi
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910151573.7A
Other languages
Chinese (zh)
Other versions
CN109685046B (en
Inventor
何华斌
吴忠强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujian University of Technology
Original Assignee
Fujian University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fujian University of Technology filed Critical Fujian University of Technology
Priority to CN201910151573.7A priority Critical patent/CN109685046B/en
Publication of CN109685046A publication Critical patent/CN109685046A/en
Application granted granted Critical
Publication of CN109685046B publication Critical patent/CN109685046B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/56Extraction of image or video features relating to colour

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The present invention discloses a kind of skin light transparency analysis method and its device based on image grayscale, and method obtains the color image of light clear transdermal sample by image collecting device the following steps are included: step 1;Step 2, the interested rectangular area that skin samples are selected in color image, by the RGB component intensity-conversion of the rectangular region image at gray-scale intensity signal;Step 3, several point-of-interests are chosen in the blood vessel of selected rectangular area, and calculates the gray value, gray average and initial gray mean value of point-of-interest;Step 4, it is normalized with initial gray mean value as maximum value, calculates the gray value of point-of-interest, gray average compares the sum of the grayscale values gray average decline percentage P that initial gray mean value obtains respectively;Step 5, the gray value of different time, gray average, gray average decline percentage P are depicted as curve graph according to time coordinate.The present invention effectively reflects the variation tendency of skin light transparency and low in cost.

Description

A kind of skin light transparency analysis method and its device based on image grayscale
Technical field
The present invention relates to image analysis technology field more particularly to a kind of skin light transparencies based on image grayscale point Analyse method and device thereof.
Background technique
Skin is made of epidermis, corium and subcutaneous tissue, and contains the accessory organs such as sweat gland, capillary, nerve, these Skin forms the complicated morphological feature of each tool, has different refractive indexes to each wavelength of visible light, so that skin reduces skin UV light reaches intracutaneous intensity and depth, so that fringe is presented in veins beneath the skin.
It so far, is to be used in the medical research targeted frequently with open skin window (abbreviation skin window) with blood vessel Blood vessel observation, tumor microenvironment observation and treatment etc. research, the image of veins beneath the skin are obtained by skin window, to study blood Manage various states.Open skin window need to carry out surgical operation to skin, shear skin, cause skin injury, lead to organism Physiological status variation acutely, brings corresponding negative effect.To avoid shearing skin, while obtaining the clear figure of veins beneath the skin Picture, guarantees the objectivity of research as far as possible, nearly more than ten coming year carried out not open skin window model tissue light transparent technology (TOC, Tissue Optical Clearing) research, research is widely applied in subcutaneous haematic flow monitoring, the acquisition of subcutaneous tumor image.
In use, skin gradually switchs to pellucidity, veins beneath the skin by cloudy state to skin light transparent technology Clearly state is gradually presented, in the process, the variation of skin light pellucidity is generally using the laser light source of profession, camera Carry out the spectrum of reflected light and transmitted light on analyzing skin image or skin with spectrometer, the price of equipment is not only high but also not Easily implement.
For the effect that measurement light is transparent, existing technological means will generally use expensive laser illumination to see The skin in region is examined, if superposition uses spectrometer, cost is higher.
It, generally will be in optics by the method that laser illumination reuses the skin image of camera acquisition in measurement process It is carried out in darkroom, laser is generally also not easily shifted as professional equipment, causes measurement method not only expensive but also operates It is complex, and these methods mainly study be veins beneath the skin and periphery background image in light transparent effect differentiation journey Degree.
Reusing the method that spectrometer monitors reflected light and transmitted intensity by laser illumination generally also needs using special Industry laser is superimposed again using spectrometer, is also carried out in optical dark room, measurement method it is expensive and also operation compared with For complexity.For this method there are one significant drawbacks, spectrometer can only measure the light for being collected into spectrometer, reflect spectrum change Trend can not accurate description for the variation of each point light transparency on skin.
Summary of the invention
The transparent journey of skin light based on image grayscale that it is an object of the invention to overcome the deficiencies of the prior art and provide a kind of Analysis method and its device are spent, using common white light as light source, using ordinary digital camera as image capture device, in conjunction with digital picture Processing method, it is cheap, quickly easy-to-use analysis determines in light clearing process that skin becomes transparent degree by muddy.
The technical solution adopted by the present invention is that:
A kind of skin light transparency analysis method based on image grayscale comprising following steps:
Step 1, the color image of light clear transdermal sample is obtained by image collecting device;
Step 2, the interested rectangular area ROI of skin samples is selected in color image, the pixel of rectangular area is NxN, by the RGB component intensity-conversion of the rectangular region image at gray-scale intensity signal;
Step 3, several point-of-interests are chosen in the blood vessel of selected rectangular area, and calculates the gray value of point-of-interest IDOI, gray average IAVGWith initial gray mean value IROI, and enable IDOI=IAVG
Step 4, with initial gray mean value IROIIt is normalized as maximum value, calculates the gray value I of point-of-interestDOI、 Gray average IAVGInitial gray mean value I is compared respectivelyROIObtain sum of the grayscale values gray average decline percentage P;
Step 5, by the gray value I of different timeDOI, gray average IAVG, gray average decline percentage P sat according to the time Curve graph is made in plotting, effectively reflects the transparent effect degree of light clear transdermal sample;Gray value or gray average smaller generation Epidermis skin transparent effect is better, and gray average decline percentage P is bigger, and to represent skin transparent effect better.
Further, RGB component intensity-conversion is as follows at the conversion formula of gray-scale intensity signal in step 2:
IY=0.299IR+0.587IG+0.114IBFormula (1)
In formula, IYIt is grey scale signal intensity, IR、IG、IBIt is red, green, blue component intensity in RGB component respectively.
Further, the calculation method of the gray average of point-of-interest is as follows in step 3:
The coordinate in grayscale image of point-of-interest DOI is set as (i, j), takes MxM picture centered on each point-of-interest DOI Plain region, the specific value of M can as the case may be depending on, calculate each point-of-interest gray average IAVG, calculation formula is as follows:
In formula, (n, m) is point-of-interest coordinate, I in the ROI region of NxN pixelY(n,m)It is the pixel that coordinate is (n, m) Point gray value.Under normal circumstances, to avoid error caused by reconnaissance, with gray average IAVGInstead of gray value IDOIIt is analyzed, That is IDOI=IAVG
Further, the specific steps of the initial gray mean value of point-of-interest are calculated in step 3:
The average gray value of the image of whole rectangular area is calculated as initial gray mean value IROI, calculation formula is as follows:
In formula, N is the width of the rectangular area ROI and the pixel quantity of height, and (n, m) is point-of-interest in ROI rectangle region Coordinate in domain, IY(n,m)It is the pixel gray value that coordinate is (n, m).
Further, the calculation formula of sum of the grayscale values gray average decline percentage P is as follows in step 4:
Wherein, IDOIFor gray value, IAVGFor gray average, IROIFor initial gray mean value.
A kind of skin light transparency analytical equipment based on image grayscale comprising the skin samples that set gradually, white Light source and image collecting device and computer;White light source is common permanent light source, and white light source irradiation is in the skin of light transparence state Skin sample;Image collecting device is used to obtain the color image of light clear transdermal sample, and will be colored by video output interface Image transmitting is to computer;Color Image Processing is grayscale image and is calculated the gray scale of point-of-interest based on grayscale image by computer Value, gray average and initial gray mean value, and then carry out the light transparency analysis of light clear transdermal sample.
Further, white light is common permanent light source.
Further, image collector is set to the digital camera with video output interface,
Further, video output interface is HDMI interface.
Further, the analysis of the skin light transparency analysis method design based on image grayscale is installed on computer Software, analysis software be provided with frequency observation area, choose the coordinates regional of ROI, the display area ROI and DOI selection area, the time and DOI gray average text viewing area, DOI grey scale change curve graph, video observation area is for observing what digital camera transmitted Simultaneously transparent to light skin samples are acquired video flowing, and the image for choosing the coordinates regional transparent to light skin samples of ROI carries out The selection of area-of-interest is simultaneously shown in the display area ROI, while for selecting DOI point in ROI region, and in different moments root Decline percentage according to the gray value, gray average or gray average of the requirement extract point, is shown in time and DOI gray average Text viewing area, while being plotted in DOI grey scale change curve graph and reflecting the change of the light transparency of the ROI region at any time Change.
Further, DOI gray average I is drawnAVGVariation, gray average decline percentage P change curve concentrated expression Skin light transparency.
The invention adopts the above technical scheme, special without other to light source using white light that is general, keeping in balance It is required that obtain image after, to can not comparison brightness size clear transdermal color image carry out gray proces, when solving different Between stage clear transdermal color image numerical value compare problem, then by image some put sum of the grayscale values gray value decline Percentage and with this put for center MxM pixel region gray average and gray average decline percentage reflect the transparent journey of skin Degree trend.
In contrast, the method for the skin image obtained by laser illumination using camera will use dedicated valuableness The skin image under same illumination brightness is obtained as light source for laser so that blood vessel and periphery clear background are distinguished, originally It is different to invent low in cost and determination method.
Determination method and comparison of the invention monitors reflected light and transmitted intensity using spectrometer by laser illumination Method to have similar place determined by the intensity of light, difference is that spectrometer is to measure the intensity of each frequency component still Which point not can determine that is or zonule, the present invention are by measuring and calculating in the image in pellucidity skin Some puts and puts with this intensity of light for center MxM pixel region, and can accurately reflect some and put and with this Point is the variation tendency of light transparency of center MxM pixel region and low in cost.
Detailed description of the invention
The present invention is described in further details below in conjunction with the drawings and specific embodiments;
Fig. 1 is a kind of structural schematic diagram of the skin light transparency analytical equipment based on image grayscale of the present invention;
Fig. 2 is a kind of flow diagram of the skin light transparency analysis method based on image grayscale of the present invention;
Fig. 3 is analysis software schematic diagram of the invention;
Fig. 4 is different moments corresponding color image of the invention and the corresponding grayscale image with point-of-interest;
Fig. 5 is the curve graph for the different moments gray average that the present invention is drawn;
Fig. 6 is the curve graph that the different moments gray average that the present invention is drawn declines percentage P.
Specific embodiment
The transparent i.e. skin of skin light of the present invention is made of epidermis, corium and subcutaneous tissue, and contains sweat gland, blood capillary The accessory organs such as pipe, nerve, these skins form the complicated morphological feature of each tool, have different refractions to each wavelength of visible light Index, so that skin reduces skin UV light and reaches intracutaneous intensity and depth, so that fringe is presented in veins beneath the skin.Skin Light transparent technology can significantly reduce the scattering of skin histology, penetration depth of the light in skin histology be improved, so that veins beneath the skin Clearly image is presented.Described image gray scale is according to 8 in digital picture gray level image formats, by brightness of image with 256 grades It is divided, at all levels and details in difference image.
As shown in Figure 1, the device that the present invention uses includes skin samples, white light source and image collecting device, white light is general Logical perseverance light source, image collector are set to digital camera, and digital camera is the camera with video output interface, are used herein as prevalence HDMI interface (High Definition Multimedia Interface, high-definition media interface), computer use band The interface of HDMI input, the software of the skin light transparency analysis method based on image grayscale is equipped on computer, is carried out The acquisition of light clear transdermal sample and the analysis of light transparency.
As shown in Fig. 2, the invention discloses a kind of skin light transparency analysis method based on image grayscale, specific to flow Steps are as follows for journey:
(1) light clear transdermal sample is by digital camera acquired image data in system and device with Computer Graphics Display On a computer display, and in computer terminal with the storage of color graphics format.
Light clear transdermal sample is existed by digital camera acquired image data in system and device with Computer Graphics Display On computer display, and in computer terminal with the storage of color graphics format.Coloured picture is generally made of RGB, is related to 3 kinds of components, It can not be comprehensively compared, it, can not be from amount although the image of same skin area different moments can be with subjective observation light transparent effect Directly judge in value, so the analysis of transparent to light variation uses and coloured picture is first changed into the method that grayscale image is compared to each other again, from The transparent variation degree of light is angularly analyzed in the variation of gray value, gray average and gray value percentage.
(2) coloured picture is changed into grayscale image.
Selected skin samples rectangular area ROI (Region of Interest), pixel NxN, by the RGB component of image Intensity-conversion is at gray-scale intensity signal, conversion formula
IY=0.299IR+0.587IG+0.114IBFormula (1)
In formula, IYIt is grey scale signal intensity, is red, green, blue component intensity in RGB component respectively.
(3) calculate the gray value of DOI (Dot of Interest, point-of-interest) in selection area blood vessel, gray average and Initial gray mean value.
Extract DOI gray value.Several point-of-interest DOI, of point are chosen from the different location of selected rectangular area blood vessel Depending on number can be according to actual conditions, the gray value I of these points is extractedDOI
Calculate DOI gray average.Assuming that coordinate is (i, j) to DOI point in the picture, MxM pixel region is taken centered on each DOI Domain depending on M can be according to actual conditions, calculates its gray average IAVG, and enable IDOI=IAVG, the fundamental formular of calculating is
In formula, (n, m) is DOI coordinate, I in NxN pixel ROI imageY(n,m)It is the pixel gray level that coordinate is (n, m) Value.
Calculate initial gray mean value.With the average gray value I of whole ROI imageROIAs primary condition, in formula (2) base Entire ROI is extended on plinth, calculation formula is
In formula, N is the width of ROI region and the pixel quantity of height.
(4) it calculates sum of the grayscale values gray average and declines percentage.With initial gray mean value IROINormalizing is carried out as maximum value Change, DOI gray value IDOICompared to IROIThe percentage P of decline enables gray value I to avoid errorDOIEqual to gray average IAVG, Calculation formula is
(5) by the gray average I of different timeAVG(or gray value IDOI), gray average (or gray value) decline percentage P It is depicted as curve graph according to time coordinate, can effectively reflect the transparent effect degree of light clear transdermal sample.Gray average (or Gray value) the smaller skin transparent effect that represents is better, and gray average (or gray value) decline percentage P is bigger, and to represent skin transparent Effect is better.Under normal circumstances, to avoid error caused by reconnaissance, gray value is replaced to be analyzed with gray average.
The realization principle of light transparency analysis software is described in detail below:
As shown in figure 3, light transparency analysis software is made of several modules, main part has video observation area, choosing Take coordinates regional, the display area ROI and DOI selection area, time and the DOI gray average text viewing area, DOI gray scale of ROI Change curve, video observation area is used to observe the video flowing that digital camera transmits and transparent to light skin samples are adopted Collection, the image for choosing the main transparent to light skin samples of coordinates regional of ROI carry out the selection of area-of-interest and are shown in ROI Display area, while DOI point is selected in ROI region, in different moments, gray value, the gray scale that can extract the point according to demand are equal Value or gray average decline percentage, are shown in time and DOI gray average text viewing area, while can be plotted in DOI ash It spends in change curve, thus reflects that the light transparency of the ROI region changes with time.
The result of light transparency analysis: as Figure 4-Figure 6, dependency number is extracted according to above-mentioned algorithm and the software of design According to by the original state of clear transdermal sample, pellucidity 30 minutes, 40 minutes, 50 minutes, 60 minutes gray averages and ash Degree mean value decline percentage synthesis is listed, and the transparency variation tendency of clear transdermal sample can be observed.
The present invention be directed to light clear transdermal and similar situation, using the variation of gray value of image or gray average size come Reflect skin transparency trend.For light clear transdermal and similar situation, after being normalized using gray value of image, gray value or Person's gray average declines the variation of percentage (relative value) to reflect skin transparency trend.The present invention is saturating in measurement skin light It is right after obtaining image to light source without other particular/special requirements using white light that is general, keeping in balance during bright degree Can not the clear transdermal color image of comparison brightness size carry out gray proces, it is colored to solve different time stage clear transdermal The numerical value of image compares problem, then declines percentage by the sum of the grayscale values gray value of DOI interested any in image angiosomes Than, percentage declined as gray average in the MxM pixel region of center and gray average using DOI reflect skin transparency trend.
In contrast, the method for the skin image obtained by laser illumination using camera will use dedicated valuableness The skin image under same illumination brightness is obtained as light source for laser so that blood vessel and periphery clear background are distinguished, originally It is different to invent low in cost and determination method.
Determination method and comparison of the invention monitors reflected light and transmitted intensity using spectrometer by laser illumination Method to have similar place determined by the intensity of light, difference is that spectrometer is to measure the intensity of each frequency component still Not can determine that it is that perhaps the zonule present invention is the strong of the light of certain point or some zonule in measurement image to which point Degree, and some point and the variation tendency of some zonule light transparency and low in cost can be accurately reflected.
Bibliography:
[1]Sandison J.C.The transparent chamber of the rabbits ear,giving a complete description of improved technic of construction and introduction,and general account of growth and behavior of living cells and tissues as seen with the microscope[J].Protoplasma,1928,5(1):158-160.
[2]Ea Genina,An Bashkatov,Vv Tuchin.Tissue optical immersion clearing [J].Expert review of medical devices, 2010,7(6):825-42.
[3] Mao Zongzhen, Han Zhenzhen, Zhu (Lv is red) thiophene ketone improve the experimental study of rat in vivo skin light transparent effect [J] Acta Optica, 2009,29 (7): 1921-1925.
[4]Wang Jing,Zhou Xue,Duan Shu,et al.Improvement of in vivo rat skin optical clearing with chemical penetration enhancers[C].Proceedings of SPIE, 2011,7883:78830Y.
[5]Dan Zhu,V Larin Kirill,Qingming Luo,et al.Recent progress in tissue optical clearing[J].Laser&photonics reviews,2013,7(5):732.
[6]Wang Jing,Shi Rui,Zhu Dan.Switchable skin window induced by optical clearing method for dermal blood flow imaging[J].Journal of Biomedical Optics,2013,18(6):061209.
[7]Deng Zijian,Jing Lijia,Wu Ning,et al.Viscous optical clearing agent for in vivo optical imaging[J].Journal of Biomedical Optics,2014,19(7): 76019.
[8]Wang Jingyi,Liang Yanmei,Zhang Shu,et al.Evaluation of optical clearing with the combined liquid paraffin and glycerol mixture[J].Biomedical Optics Express,2011,2(8):2329-2338.
[9]Shi R.,Guo L.,Zhang C.,et al.A useful way to develop effective in vivo skin optical clearing agents[J]. Journal of biophotonics,2017,10(6):887- 895.
[10]Wang Jing,Zhang Yang,Li Pengcheng,et al.Review:Tissue Optical Clearing Window for Blood Flow Monitoring[J].IEEE Journal of Selected Topics in Quantum Electronics,2014,20(2):92-103.
[11]Shi Rui,Chen Min,Tuchin Valery V.,et al.Accessing to arteriovenous blood flow dynamics response using combined laser speckle contrast imaging and skin optical clearing[J].Biomedical Optics Express,2015, 6(6): 1977-1989.
[12] Cen Jian, Zhu (Lv is red), Luo Qingming, the real-time dynamic that et al. bleeding agent influences mouse skin optical characteristics Monitor [J] Acta Optica, 2004,24 (7): 873-876.

Claims (10)

1. a kind of skin light transparency analysis method based on image grayscale, it is characterised in that: itself the following steps are included:
Step 1, the color image of light clear transdermal sample is obtained by image collecting device;
Step 2, the interested rectangular area ROI of skin samples is selected in color image, the pixel of rectangular area is NxN, By the RGB component intensity-conversion of the rectangular region image at gray-scale intensity signal;
Step 3, several point-of-interests are chosen in the blood vessel of selected rectangular area, and calculates the gray value I of point-of-interestDOI、 Gray average IAVGWith initial gray mean value IROI, and enable IDOI=IAVG
Step 4, with initial gray mean value IROIIt is normalized as maximum value, calculates the gray value I of point-of-interestDOI, gray scale Mean value IAVGInitial gray mean value I is compared respectivelyROIObtained sum of the grayscale values gray average decline percentage P;
Step 5, by the gray value I of different timeDOI, gray average IAVG, gray average decline percentage P drawn according to time coordinate Curve graph is made, effectively reflects the transparent effect degree of light clear transdermal sample;Gray value or gray average is smaller represents skin Skin transparent effect is better, and gray average decline percentage P is bigger, and to represent skin transparent effect better.
2. a kind of skin light transparency analysis method based on image grayscale according to claim 1, it is characterised in that: RGB component intensity-conversion is as follows at the conversion formula of gray-scale intensity signal in step 2:
IY=0.299IR+0.587IG+0.114IBFormula (1)
In formula, IYIt is grey scale signal intensity, IR、IG、IBIt is red, green, blue component intensity in RGB component respectively.
3. a kind of skin light transparency analysis method based on image grayscale according to claim 1, it is characterised in that: The calculation method of the gray average of point-of-interest is as follows in step 3:
The coordinate in grayscale image of point-of-interest DOI is set as (i, j), takes MxM pixel region centered on each point-of-interest DOI Domain, the specific value of M can as the case may be depending on, calculate each point-of-interest gray average IAVG, calculation formula is as follows:
In formula, (n, m) is point-of-interest coordinate, I in the ROI region of NxN pixelY(n,m)It is the pixel ash that coordinate is (n, m) Angle value.
4. a kind of skin light transparency analysis method based on image grayscale according to claim 1, it is characterised in that: The specific steps of the initial gray mean value of point-of-interest are calculated in step 3:
The average gray value of the image of the whole rectangular area ROI is calculated as initial gray mean value IROI, calculation formula is as follows:
In formula, N is the width of the rectangular area ROI and the pixel quantity of height, and (n, m) is point-of-interest in the rectangular area ROI Coordinate, IY(n,m)It is the pixel gray value that coordinate is (n, m).
5. a kind of skin light transparency analysis method based on image grayscale according to claim 1, it is characterised in that: The calculation formula of sum of the grayscale values gray average decline percentage P is as follows in step 4:
Wherein, IDOIFor gray value, IAVGFor gray average, IROIFor initial gray mean value.
6. a kind of skin light transparency analytical equipment based on image grayscale, claim 1-5 any described one is applied Skin light transparency analysis method of the kind based on image grayscale, it is characterised in that: analytical equipment includes the skin set gradually Sample, white light source and image collecting device and computer;White light source is common permanent light source, and white light source irradiation is in light transparence shape The skin samples of state;Image collecting device is used to obtain the color image of light clear transdermal sample, and passes through video output interface By colo r image transmission to computer;Color Image Processing is grayscale image and calculates point-of-interest based on grayscale image by computer Gray value, gray average and initial gray mean value, and then carry out the light transparency analysis of light clear transdermal sample.
7. a kind of skin light transparency analytical equipment based on image grayscale according to claim 6, it is characterised in that: White light is common permanent light source.
8. a kind of skin light transparency analytical equipment based on image grayscale according to claim 6, it is characterised in that: Image collector is set to the digital camera with video output interface.
9. a kind of skin light transparency analytical equipment based on image grayscale according to claim 6, it is characterised in that: The analysis software of skin light transparency analysis method design based on image grayscale, analysis software setting are installed on computer There are video observation area, the coordinates regional for choosing ROI, the display area ROI and DOI selection area, time and DOI gray average text Viewing area, DOI grey scale change curve graph, video observation area are used to observe video flowing and the transparent to light that digital camera transmits Skin samples are acquired, and the image for choosing the coordinates regional transparent to light skin samples of ROI carries out the selection of area-of-interest And it is shown in the display area ROI, while for selecting DOI point in ROI region, and extract the point according to demand in different moments Gray value, gray average or gray average decline percentage, are shown in time and DOI gray average text viewing area, simultaneously It is plotted in DOI grey scale change curve graph and reflects that the light transparency of the ROI region changes with time.
10. a kind of skin light transparency analytical equipment based on image grayscale according to claim 6 or 9, feature Be: computer further draws the variation of DOI gray average, gray average decline percentage P change curve concentrated expression skin Skin light transparency.
CN201910151573.7A 2019-02-28 2019-02-28 Skin light transparency degree analysis method and device based on image gray scale Active CN109685046B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910151573.7A CN109685046B (en) 2019-02-28 2019-02-28 Skin light transparency degree analysis method and device based on image gray scale

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910151573.7A CN109685046B (en) 2019-02-28 2019-02-28 Skin light transparency degree analysis method and device based on image gray scale

Publications (2)

Publication Number Publication Date
CN109685046A true CN109685046A (en) 2019-04-26
CN109685046B CN109685046B (en) 2023-09-29

Family

ID=66197278

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910151573.7A Active CN109685046B (en) 2019-02-28 2019-02-28 Skin light transparency degree analysis method and device based on image gray scale

Country Status (1)

Country Link
CN (1) CN109685046B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110634111A (en) * 2019-09-20 2019-12-31 福建工程学院 Skin light transparency analysis method and system based on blood vessel region gray scale and image number
CN111209936A (en) * 2019-12-26 2020-05-29 新绎健康科技有限公司 Method and system for determining facial gloss based on k-means clustering
CN111915564A (en) * 2020-07-02 2020-11-10 西安交通大学 Frozen meat product optical characteristic detection method combining machine vision and OCT technology

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6081612A (en) * 1997-02-28 2000-06-27 Electro Optical Sciences Inc. Systems and methods for the multispectral imaging and characterization of skin tissue
CN101632089A (en) * 2005-09-01 2010-01-20 光谱辨识公司 Biometric sensor
CN101833757A (en) * 2009-03-11 2010-09-15 深圳迈瑞生物医疗电子股份有限公司 Method and system for detection edge of blood vessel graphic tissue structure and blood vessel endangium
JP2013078520A (en) * 2011-10-05 2013-05-02 Kao Corp Skin image analysis apparatus and skin image analysis method
US20160135730A1 (en) * 2013-06-28 2016-05-19 Panasonic Intellectual Property Corporation Of America Skin function evaluation device and skin evaluation method
US20170076133A1 (en) * 2015-09-14 2017-03-16 JENETRIC GmbH Device and Method for the Direct Optical Recording of Live Skin Areas

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6081612A (en) * 1997-02-28 2000-06-27 Electro Optical Sciences Inc. Systems and methods for the multispectral imaging and characterization of skin tissue
CN101632089A (en) * 2005-09-01 2010-01-20 光谱辨识公司 Biometric sensor
CN101833757A (en) * 2009-03-11 2010-09-15 深圳迈瑞生物医疗电子股份有限公司 Method and system for detection edge of blood vessel graphic tissue structure and blood vessel endangium
JP2013078520A (en) * 2011-10-05 2013-05-02 Kao Corp Skin image analysis apparatus and skin image analysis method
US20160135730A1 (en) * 2013-06-28 2016-05-19 Panasonic Intellectual Property Corporation Of America Skin function evaluation device and skin evaluation method
US20170076133A1 (en) * 2015-09-14 2017-03-16 JENETRIC GmbH Device and Method for the Direct Optical Recording of Live Skin Areas

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
吴微 等: "手掌静脉识别中感兴趣区域的选择与定位研究", 《光电子.激光》 *
孙朝杰 等: "甘油和超声波联用对豚鼠皮肤光透明效果的影响", 《浙江理工大学学报》 *
毛宗珍 等: "噻酮对离体乳猪皮肤光透明效果影响的实验研究", 《光学学报》 *
赵庆亮: "光透明技术在生物光学成像深度拓展及对比增强中的应用研究", 《中国博士学位论文全文数据库 卫生医药科技辑》 *
钟会清 等: "超声波和丙三醇对皮肤光透明性的影响", 《中国激光》 *
闻翔: "皮肤光透明的物理机制与生理机制研究", 《中国博士学位论文全文数据库 卫生医药科技辑》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110634111A (en) * 2019-09-20 2019-12-31 福建工程学院 Skin light transparency analysis method and system based on blood vessel region gray scale and image number
CN110634111B (en) * 2019-09-20 2022-07-19 福建工程学院 Skin light transparency analysis method and system based on blood vessel region gray scale and image number
CN111209936A (en) * 2019-12-26 2020-05-29 新绎健康科技有限公司 Method and system for determining facial gloss based on k-means clustering
CN111209936B (en) * 2019-12-26 2023-04-25 新绎健康科技有限公司 Method and system for determining face gloss based on k-means clustering
CN111915564A (en) * 2020-07-02 2020-11-10 西安交通大学 Frozen meat product optical characteristic detection method combining machine vision and OCT technology
CN111915564B (en) * 2020-07-02 2022-04-22 西安交通大学 Frozen meat product optical characteristic detection method combining machine vision and OCT technology

Also Published As

Publication number Publication date
CN109685046B (en) 2023-09-29

Similar Documents

Publication Publication Date Title
Dimauro et al. A new method and a non-invasive device to estimate anemia based on digital images of the conjunctiva
Pogue et al. Analysis of acetic acid-induced whitening of high-grade squamous intraepithelial lesions
EP2950708B1 (en) Imaging system with hyperspectral camera guided probe
Gareau et al. Sensitivity and specificity for detecting basal cell carcinomas in Mohs excisions with confocal fluorescence mosaicing microscopy
Tai et al. Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy
JP4487535B2 (en) Health measurement system and program
CN109685046A (en) A kind of skin light transparency analysis method and its device based on image grayscale
US20150029464A1 (en) Automated Measurement of Changes in Retinal, Retinal Pigment Epithelial, or Choroidal Disease
EP2544141A1 (en) Diagnostic information distribution device and pathology diagnosis system
Carlson et al. Confocal microscopy: Imaging cervical precancerous lesions
JP7197708B2 (en) Preprocessing method and storage device for fundus image quantitative analysis
US20180128681A1 (en) Image processing device, imaging system, image processing method, and computer-readable recording medium
CN109064468B (en) Method for quantitatively analyzing eyelid meibomian gland morphology and area by applying MATLAB
Albert A survey of optical imaging techniques for assessing wound healing
Wright Jr Chapter 10: Cervical cancer screening using visualization techniques
Harris et al. A pulse coupled neural network segmentation algorithm for reflectance confocal images of epithelial tissue
US20180146847A1 (en) Image processing device, imaging system, image processing method, and computer-readable recording medium
Arginelli et al. High resolution diagnosis of common nevi by multiphoton laser tomography and fluorescence lifetime imaging
CN116660271A (en) Method for detecting surface flatness and smoothness of indium ingot after demolding
US20210174147A1 (en) Operating method of image processing apparatus, image processing apparatus, and computer-readable recording medium
CN116012484A (en) Skin white spot basin-shaped presentation method based on volume content of melanin
Chakravarthy et al. Quantitative fluorescein angiographic analysis of choroidal neovascular membranes: validation and correlation with visual function
Wessels et al. Learning curve and interobserver variance in quantification of the optical coherence tomography attenuation coefficient
JP6703218B1 (en) How to assess skin condition
EP3038052A1 (en) Diagnosis support apparatus and image processing method in the same apparatus

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant